Archived CfP: Special section on multimodal learning analytics

DEADLINE FOR SUBMISSIONS: March 1, 2015***********************************************************

The Journal of Learning Analytics Special Issue on Multimodal Learning Analytics is focused on research that discusses the salience of using data from a combination of modalities (or data streams) to enhance the field’s ability to support, understand and improve student learning. Papers can come from a variety of learning contexts, and are free to utilize any number of data sources. Additionally, papers in this special issue should feature both an in-depth presentation of any analytic approaches utilized, as well as theoretical justification for the analytic techniques and the reported findings. Finally, authors are encourage to explore new metrics and analytic techniques, and should consider reporting their findings even if they do not garner the expected results.

SCOPEParticular modalities of interest include, but are not limited to:

Gaze

Gesture

Speech

Arousal

Engagement

Motivation

Persistence

Content Knowledge

Click Streams

Actions (with a virtual or physical interface)

Survey Responses

Note that the modalities analyzed do not have to be automatically derived. Manual annotations and data that is derived from student surveys are both acceptable and encouraged.

EXAMPLES

Multimodal pattern/behavior recognition and/or modeling from a given learning environment

Predicting student success on a series of activities in an Intelligent Tutoring System based on data from various data streams.